My name is Nicolò Botteghi and I am a researcher at the Modeling and Scientific Computing Laboratory (MOX) at the Politecnico di Milano. My research focuses on the development data-efficient machine learning approaches for control, state estimation, and uncovering governing equations of dynamical systems. I am particularly interested in robotics and fluid-dynamics applications where it is possible to exploit prior knowledge and symmetries of the problems to reduce the amount of data.  

Curriculum Vitae

• CV

Research Interests

• Deep Reinforcement Learning

• Unsupervised Representation Learning

• Model-order and Dimensionality Reduction

• Robotics

• Dynamical Systems and Fluids

Education

• PhD in Robotics (2017-2021) @University of Twente, Netherlands

• MSc in Automation Engineering (2014-2017) @Università di Bologna, Italy

• BSc in Automation Engineering (2011-2014) @Università di Bologna, Italy